Senior Director, Multiomics – Ginkgo Datapoints

Level (Sr. Director) will be set to match the successful candidate's experience.

Location: Boston, MA (Seaport / HQ) Reporting to: General Manager, Ginkgo Datapoints Focus: Scientific Excellence, Commercial Strategy (P&L), Functional Genomics, Arrayed Perturbation Response Profiling & Multiomic Platform Expansion

The Opportunity

Ginkgo Datapoints defines the category of the Bio × AI data provider. We work with top pharma, biotech, tech, and techbio companies, and we've built our reputation on high-quality, large-scale, reproducible data generated by automation rather than by hand. We're a fee-for-service partner — our customers own their data, and our incentives are aligned with theirs.

As our Senior Director of Multiomics, you will own the vision, execution, and commercial success of our Multiomics business, including the functional genomics engine behind our Perturbation Response Profiling and Specialized HTS offerings. This is a genuinely intrapreneurial role: you operate at the frontier of business and science, report to the GM of Datapoints, and lead a multidisciplinary team of scientists, automation engineers, and bioinformaticians with GS&A support.

Your Mission

Your primary goal is to scale our arrayed multiomic perturbation platform into the best in the industry, and to own the full P&L for the vertical. The near-term growth thesis is clear:

• Find new applications for DRUG-seq — safety first. Expand our high-throughput transcriptomic screening into new use cases, with safety and predictive toxicology chief among them.

• Turn perturbation data into AI fuel. Position our datasets as the training substrate for the next generation of AI/ML models, and shape data generation specifically to serve model training.

• Round out the readout menu. Extend beyond transcriptomics and imaging into proteomics, metabolomics, and additional NGS methods that complete a true multiomic offering.

• Build products the industry doesn't have yet. Add new offerings to the portfolio — arrayed whole-genome CRISPR knockouts paired with rich multiomic readouts among them — and the drug-discovery power that kind of capability unlocks.

The role is anchored in discovery-stage functional genomics, with real room to extend our multiomic work into translational and clinical biomarkers — population-scale and direct-to-consumer rather than regulated diagnostics. If that's the work that excites you most, there's a home for it here.

Key Responsibilities

Commercial & P&L Ownership: Define the go-to-market strategy for Multiomics Datapoints. Identify market gaps, set pricing for our high-value / low-cost-per-datapoint model, and own revenue growth and operational efficiency across a customer base that spans large pharma, biotech, and government.

Technical Vision & Roadmap: Set the scientific direction across our arrayed perturbation platform and multiomic readouts — DRUG-seq (high-throughput transcriptomics), high-content imaging and Cell Painting (morphological profiling), and CRISPR-edit verification — across arrayed chemical, genetic (CRISPR KO / CRISPRi), and siRNA / ASO modalities. Drive the expansion agenda above: new DRUG-seq applications (especially safety), data purpose-built for AI/ML training, new readouts (proteomics, metabolomics, additional NGS), and new products such as arrayed whole-genome CRISPR knockouts. 

Strategic Team Leadership: Lead and mentor a multidisciplinary team of roughly 10–15. Because Datapoints runs a central operations matrix, day-to-day task assignment flows through shared ops structures; your job is to set direction, develop the team, and bridge the gap between industrialized wetlab automation and computational/AI interpretation. A practical understanding of wetlab methods — assay development, cell culture, perturbation delivery — is essential, so that you can lead the experimental team credibly even if your own background is computational.

External Presence & Thought Leadership: Serve as the face of Ginkgo's Multiomics business. Represent the company at major conferences (e.g., the Festival of Genomics), publish and present our science, and cultivate community around initiatives like the Virtual Cell Pharmacology Initiative (VCPI). Lend scientific credibility to sales and BD conversations, and open doors by connecting the commercial team with relevant contacts across your network.

Government & Grant Strategy: Partner with Government Affairs to shape and win large-scale programs (ARPA-H, BARDA, DARPA, NIH). Our ARPA-H CATALYST program — building an in-silico ADME-Tox and dosage-prediction platform aimed at reducing reliance on animal models — is exactly the kind of safety-focused flagship you'll help drive.

Build the Best-in-Industry Arrayed Multiomics Engine: Lead the continued scale-up of our automated arrayed perturbation-and-readout platform — transcriptomics, imaging, edit verification, and new omic layers — with integrated QC and AI analytics pipelines, to produce high-fidelity, AI-ready datasets faster and at greater scale than traditional labs.

The Profile

We need a functional genomics leader who is bored with the status quo of "traditional" discovery. You should have deep respect for the craft of science, but a relentless dissatisfaction with its current speed and cost. You possess the rare combination of deep scientific intuition and a builder's ambition for scale — and you're as comfortable in a customer conversation as in a data review.

Ideally, you've lived on the buy side. You've been an active buyer of discovery, CRO, or data-generation services, and you know firsthand where they fall short. Now you want to move to the sell side to build the offering you always wished you could buy — and give the industry something genuinely new.

Required Qualifications

• Deep Industry Expertise: 10+ years in high-growth biotech or large pharma with a proven track record in functional genomics and discovery research. (We weigh hands-on industry R&D leadership more heavily than a purely academic track record.)

• Buyer's Perspective: You have been an active buyer of discovery / CRO / data-generation services (or led teams that were), and you're motivated to build, on the sell side, something you wished existed as a customer.

• Scientific Credibility: PhD (or equivalent experience) in genomics, molecular biology, computational biology, systems biology, or a related field. You are a recognized expert in perturbation biology or modeling and the discovery cascade.

• Perturbation Depth: Direct experience with arrayed chemical and/or genetic screening (CRISPR KO / CRISPRi), transcriptomic profiling, and high-content imaging.

• Computational Strength with Wetlab Command: A strongly computational profile is very welcome — even ideal. What's essential is a firm, practical understanding of wetlab methods, so you can lead the experimental team credibly.

• Commercial Interest & Drive: You're excited to own the commercial side of a business — pricing, growth, and turning technical capability into customer value. Prior P&L experience is a plus, but the appetite matters more than the résumé line; we're happy to help you grow into it.

• The "Ginkgo Mindset": You are an entrepreneur at heart. You thrive in fast-paced, high-stakes environments and are genuinely excited by the vision of a best-in-industry arrayed multiomics platform and the new products it can offer — arrayed whole-genome CRISPR knockouts among them.

Preferred Qualifications

• Translational and clinical biomarkers: experience — or a real passion for — biomarker work in population-scale or direct-to-consumer settings (rather than regulated diagnostics).

• Multiomic expansion expertise: proteomics, metabolomics, or additional NGS methods that would round out the offering.

• AI/ML or automation — ideally both: strength on either axis is a real asset. On the AI/ML side, experience using perturbation data to train models (MOA classification, perturbation embeddings, virtual-cell / gene-expression prediction). On the automation side, familiarity with how industrialized lab automation generates data at scale. Neither is required on its own, but candidates who bring both will stand out.

• Track record of contributing to commercial growth through scientific credibility, partnerships, or network relationships.

• Experience shaping or winning government / consortium grants.

• Established presence in the multiomics community (publications, speaking engagements, advisory roles).

Why Ginkgo Datapoints?

Ginkgo has invested over $1 billion in automation infrastructure. We have some of the world's most advanced automated labs, and we are now making that power available to the world through Datapoints. This can't just be a job — you will be a driver of how the next generation of biology gets discovered.

Ginkgo Datapoints is an equal opportunity employer. We source, evaluate, and hire candidates without regard to sex, gender, race, age, disability, or any other protected characteristic. We especially welcome applications from people who are underrepresented in scientific leadership.

$183,000–$290,000 

materials, and more. Our bioengineers make use of an in-house automated foundry for designing and building new organisms. 

Here at Ginkgo, we are aiming to modernize ADME by bringing our experience in high-throughput screening to the in vitro small molecule drug pipeline. We are re-imagining ADME at scale, and we are seeking a visionary and technically adept High-Throughput ADME Scientist to help us build and execute this next-generation platform. This role is critical in accelerating our drug discovery pipeline by providing timely and high-quality in vitro ADME (Absorption, Distribution, Metabolism, and Excretion) data to guide lead optimization.

The ideal candidate will possess deep technical expertise in developing, validating, and implementing a variety of high-throughput ADME assays.

Key Responsibilities

Assay Development & Implementation

• Design, develop, optimize, and validate a wide array of high-throughput in vitro ADME assays (e.g., solubility, MDCK permeability, plasma protein binding, microsomal stability, hepatocyte stability, and CYP inhibition/induction).
• Automation and Screening: Experience working with automated liquid handlers such as Hamilton, Lynx, Bravo, and Formulatrix.

Data Analysis & Reporting

• Develop and perform mass spectrometry (LC-MS/MS, acoustic ejection mass spectrometry, or similar) analysis of samples from ADME assays. Responsibilities will include method development and troubleshooting.
• Ensure proper sample preparation and management for high-throughput analysis.
• Analyze, interpret, and report complex ADME data, including calculating key pharmacokinetic parameters.
• Present results and provide expert recommendations to medicinal chemists and project teams to inform go/no-go decisions.

Quality & Compliance

• Maintain detailed and accurate laboratory records, SOPs, and electronic notebooks.
• Ensure all laboratory activities comply with internal quality standards and safety regulations.

Operational ownership & risk management

• Lead day‑to‑day operations of the ADME team 
• Build and maintain “buttoned‑up” SOPs, runbooks, checklists, and QC dashboards for all established assays.

Cross‑functional partnership

• Collaborate with computational and data teams on metadata schemas, QC metrics, and analysis‑ready outputs.
• Work closely with program leads to scope work, set expectations, and communicate progress and risks.
• Contribute to portfolio and capacity planning, including scenarios for large campaigns.

Leadership, mentoring, and training

• Provide technical leadership and day‑to‑day guidance for scientists on ADME workflows.
• Contribute to the Datapoints skill matrix by defining training levels, shadowing plans, and up‑leveling team members on key assays 
• Document methods, “tips & tricks”, and troubleshooting guides; lead trainings and onboarding sessions.

Minimum Qualifications

• Education: Ph.D. in Pharmaceutical Sciences, Pharmacology, Analytical Chemistry, or a related field with 7+ years of relevant industry experience, or a Master's degree with 12+ years of industry experience.
• Technical Expertise:
• Extensive, hands-on experience with LC-MS or acoustic MS particularly in a high-throughput setting.
• Proven track record in developing and running automated in vitro ADME assays using state-of-the-art laboratory automation.
• Strong theoretical and practical knowledge of drug metabolism pathways and DMPK.
• Familiarity with common ADME prediction software and data visualization tools.

 Preferred Skills

• • Experience using lab automation.
  • Programmatic coding experience (e.g., Python, R, or similar).
  • Data visualization (Spotfire, Python, R, or similar).

Ginkgo has implemented a full-time onsite work policy requiring employees to work in the office five (5) days per week. This policy applies to all employees who live within 50 miles of Ginkgo's offices in Boston, MA, Emeryville, CA, and West Sacramento, CA. Candidates will be informed of this onsite requirement during the interview process